Naoshige Uchida

Naoshige Uchida

Harvard University

H-index: 50

North America-United States

About Naoshige Uchida

Naoshige Uchida, With an exceptional h-index of 50 and a recent h-index of 44 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Neurobiology, Decision Making, Reinforcement learning, Dopamine, Olfaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

The role of prospective contingency in the control of behavior and dopamine signals during associative learning

An opponent striatal circuit for distributional reinforcement learning

Glutamate inputs send prediction error of reward, but not negative value of aversive stimuli, to dopamine neurons

Interpretable deep learning for deconvolutional analysis of neural signals

Distributional Reinforcement Learning in the Mammalian Brain

Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model

Multi-timescale reinforcement learning in the brain

Emergence of belief-like representations through reinforcement learning

Naoshige Uchida Information

University

Position

Professor of Molecular and Cellular Biology

Citations(all)

15442

Citations(since 2020)

7746

Cited By

11007

hIndex(all)

50

hIndex(since 2020)

44

i10Index(all)

61

i10Index(since 2020)

55

Email

University Profile Page

Google Scholar

Naoshige Uchida Skills & Research Interests

Neurobiology

Decision Making

Reinforcement learning

Dopamine

Olfaction

Top articles of Naoshige Uchida

The role of prospective contingency in the control of behavior and dopamine signals during associative learning

bioRxiv

2024

Sara Matias
Sara Matias

H-Index: 8

Naoshige Uchida
Naoshige Uchida

H-Index: 39

An opponent striatal circuit for distributional reinforcement learning

bioRxiv

2024

Glutamate inputs send prediction error of reward, but not negative value of aversive stimuli, to dopamine neurons

Neuron

2024/1/22

Naoshige Uchida
Naoshige Uchida

H-Index: 39

Mitsuko Watabe-Uchida
Mitsuko Watabe-Uchida

H-Index: 16

Interpretable deep learning for deconvolutional analysis of neural signals

bioRxiv

2024/1/6

Distributional Reinforcement Learning in the Mammalian Brain

2023/12/18

Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model

bioRxiv

2023/11/14

Naoshige Uchida
Naoshige Uchida

H-Index: 39

Multi-timescale reinforcement learning in the brain

bioRxiv

2023/11/14

Emergence of belief-like representations through reinforcement learning

PLOS Computational Biology

2023/9/11

Naoshige Uchida
Naoshige Uchida

H-Index: 39

Competitive integration of time and reward explains value-sensitive foraging decisions and frontal cortex ramping dynamics

bioRxiv

2023/9/5

A hypothalamic circuit underlying the dynamic control of social homeostasis

BioRxiv

2023/5/19

Spontaneous behaviour is structured by reinforcement without explicit reward

Nature

2023/2/2

Interpretable deep learning for deconvolution of multiplexed neural signals

Computational and Systems Neuroscience Abstracts

2023

Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction

Neuron

2022/11/16

A gradual temporal shift of dopamine responses mirrors the progression of temporal difference error in machine learning

Nature neuroscience

2022/8

The role of state uncertainty in the dynamics of dopamine

Current Biology

2022/3/14

Naoshige Uchida
Naoshige Uchida

H-Index: 39

Dynamical management of potential threats regulated by dopamine and direct-and indirect-pathway neurons in the tail of the striatum

bioRxiv

2022/2/7

Naoshige Uchida
Naoshige Uchida

H-Index: 39

Mitsuko Watabe-Uchida
Mitsuko Watabe-Uchida

H-Index: 16

Unsupervised sparse deconvolutional learning of features driving neural activity

Computational and Systems Neuroscience Abstracts

2022

Dopamine signals as temporal difference errors: recent advances

2021/4/1

Naoshige Uchida
Naoshige Uchida

H-Index: 39

Distinct temporal difference error signals in dopamine axons in three regions of the striatum in a decision-making task

Elife

2020/12/21

A unified framework for dopamine signals across timescales

Cell

2020/12/10

See List of Professors in Naoshige Uchida University(Harvard University)

Co-Authors

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